Results 251 to 260 of about 11,180,393 (312)

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Asymmetric deformation law and differentiated control technique for the roadway of an isolated working face in an extra-thick coal seam. [PDF]

Sci Rep
Wu H, Gong P, Zhao T, Bai L, Yan J, Liu A.   +5 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

A Computational Approach for Biomimetic Design of Liver‐On‐A‐Chip

Advanced Intelligent Discovery, EarlyView.
A biomimetic liver‐on‐a‐chip with antiparallel perfusion was designed using COMSOL‐guided simulation to replicate hepatic acinus transport. Full‐scale modelling revealed diffusion‐dominated, length‐dependent nutrient gradients and low‐shear conditions.
Zhenxu Yang, Qiankun Yin, Qingxin Liu, Zhejun Xu, Ye Zhang, Christopher Vega‐Sánchez, Xiaochen Liu, Daniele Vigolo, Jiao Jiao Li, Ken‐Tye Yong   +9 more
wiley   +1 more source

Biosynthetic Diversity of Marine-Derived <i>Streptomyces</i> Natural Products: Integrating Genome Mining, Multi-Omics, and Translational Drug Discovery Strategies. [PDF]

Mar Drugs
Lertcanawanichakul M, Bhoopong P, Sahabuddeen T, Pedpradab P, Madoromae H, Wisessombat S, Pattanawongsa A, Songnaka N.   +7 more
europepmc   +1 more source

Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning

Advanced Intelligent Discovery, EarlyView.
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade, Isaac Vidal‐Daza, Rafael Gómez‐Bombarelli, James W. Ryan, Francisco J. Martin‐Martinez   +4 more
wiley   +1 more source

AcrSeek: metric learning with hybrid negative mining for anti-CRISPR protein detection under extreme class imbalance. [PDF]

Bioinformatics
Jeong CS.
europepmc   +1 more source

Underground allies: Mycorrhizal flexibility facilitates orchid occurrence in post-mining landscapes. [PDF]

Plant Biol (Stuttg)
Ashokan A, Sciaudone E, Battaglini A, Cortis P, Cafasso D, Cozzolino S.   +5 more
europepmc   +1 more source

Genome mining and metabolomics reveal context-dependent biosynthetic potential in a core poplar dark septate endophyte. [PDF]

mSystems
Cosner JB, Mudbhari S, Orebaugh JA, Hettich RL, Abraham PE, Rush TA.   +5 more
europepmc   +1 more source